多輸入多輸出正交分頻多工系統下之多使用者資源分配演算法設計

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研究生：	廖克軒 Ker-Hsuan Liao
論文名稱：	多輸入多輸出正交分頻多工系統下之多使用者資源分配演算法設計 Algorithm Designs of Resource Allocation for Multiuser MIMO OFDM Systems
指導教授：	陳永芳 Yung-Fang Chen
口試委員:
學位類別：	碩士 Master
系所名稱：	資訊電機學院 - 通訊工程學系 Department of Communication Engineering
畢業學年度：	96
語文別：	英文
論文頁數：	55
中文關鍵詞：	資源分配、正交分頻多工
外文關鍵詞：	Resource Allocation, OFDM
相關次數：	點閱：8 下載：0
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在本文中，我們提出了兩個在多輸入多輸出正交分頻多工系統於向上鏈結下之資源分配的方案，並與現有之演算法相比較。兩個方案均以在滿足資料傳輸率和位元錯誤率之限制下，降低總體使用者的傳輸功率為目的。第一個方案裡，應用了一個反複式多使用者位元配置的方法。我們的方案藉由觀察這個方法的解，決定每個子載波是否可以被共用。模擬結果呈現出我門的方案比全部頻率不共用的方案需要比較少的總體使用者功率，而確保各使用者傳輸率和位元錯誤率的品質。第二個方案利用了一個相關性分群方法到一個多輸入多輸出正交分頻多工系統下的迫零接收機的封閉型態之位元配置演算法。模擬結果顯示，這個方案不只有有較低的計算複雜度而且比一個第三章提到的反覆式鄰近搜尋演算法需要更少的功率。

In this thesis, we provide two resource allocation schemes in multiple-input multiple-output (MIMO)/orthogonal frequency-division multiplexing (OFDM) systems on uplink and compare them with present algorithm. Both schemes aim at minimizing the total user transmit power while satisfying required data rate and bit error rate. A resource allocation scheme based on a iterative multi-user bit allocation method is applied in the first one. This scheme determines whether each sub-carrier is reusable for users by observing the method’s solution. Simulation results show that the proposed scheme needs lower total user power consumption than the frequency-separated scheme while quality of each user’s data rate and bit error rate is guaranteed. In the second, we utilize the correlation-grouping scheme to a closed form bit allocation algorithm of zero-forcing detector for MIMO/OFDM systems. Simulation results show that this scheme not only has a lower computation complexity but also a better performance than the Iterative Descending Neighborhood Searching algorithm illustrated in chapter 3.

Contents
論文摘要	I
Abstract	II
致謝	III
Contents	IV
List of Figures	VI
List of Table	VII
Chapter 1 Introduction	1
Chapter 2 System Model	4
2.1 OFDM techniques review	4
2.1.1 OFDM history	4
2.1.2 multicarriers techniques and frequency division multiplexing	5
2.1.3 OFDM signal generation	7
2.1.4 guard interval and cyclic prefix extension	7
2.2 MIMO OFDM channel model	9
2.2.1 singular value decomposition process	11
2.3 MIMO transceiver structure	13
2.3.1 MIMO OFDM transmitter structure	14
2.3.2 MIMO OFDM receiver structure	14
Chapter 3
MIMO OFDM Resource Allocation Algorithms	17
3.1 Concepts of the frequency separated allocation algorithm	17
3.1.1 Overview	17
3.1.2 DSA and GSBA	19
3.2 Frequency reuse allocation algorithm	22
3.2.1 Overview	22
3.2.2 Closed-form bit-loading solution for MIMO-OFDM at matched filter using Lagrange Multiplie	23
3.2.3 Computational Complexity	30
3.3 Closed form bit-loading solution for MIMO OFDM at Zero-Forcing Filter using Lagrange Multiplier	31
3.3.1 Computational Complexity	33
3.4 Spatial Correlation Grouping Scheme	33
3.5 Iterative Bit Swapping Algorithm	39
3.5.1 Computational Complexity	40
3.6 Proposed scheme: Modified Grouping combined with Closed Form solution for Zero Forcing Receiver	41
3.6.1 Computational Complexity	43
Chapter 4 Simulation Results	44
4.1 Simulation parameters for multi-user MIMO OFDM	44
4.1.1 Parameters of MSs Generation Model	44
4.1.2 Physical Layer parameters	44
4.1.3 Channel Models parameters	44
4.2 Simulation results for multi-user MIMO OFDM	46
Chapter 5 Conclusions	53
Reference	53

                                

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